2019
DOI: 10.1002/jbio.201800304
|View full text |Cite
|
Sign up to set email alerts
|

Fourier transform infrared and Raman‐based biochemical profiling of different grades of pure foetal‐type hepatoblastoma

Abstract: The biomolecular events resulting from the progression of hepatoblastoma remain to be elucidated. Fourier‐transform infrared (FTIR) and Raman spectroscopies are capable of noninvasively and accurately capturing the biochemical properties of biological tissue from its pathological status. Our aim was to probe critial biomolecular changes of liver accompanying the progression of pure foetal hepatoblastoma (PFH) by FTIR and Raman spectroscopies. Herein, biochemical alterations were both evident in the FTIR spectr… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
14
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(14 citation statements)
references
References 69 publications
0
14
0
Order By: Relevance
“…Discrimination between control, 300, 600, 1200 and 2400 μg/L iodine categories on the basis of raw IR spectra was difficult due to spectral overlap. PCA‐LDA score plots yield excellent spectral separation (Baker et al, 2014; Duan, Li, et al, 2019; Paraskevaidi et al, 2017). To highlight the main biochemical alterations induced by EI, PCA‐LDA was applied to classify EI‐treated versus control categories.…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…Discrimination between control, 300, 600, 1200 and 2400 μg/L iodine categories on the basis of raw IR spectra was difficult due to spectral overlap. PCA‐LDA score plots yield excellent spectral separation (Baker et al, 2014; Duan, Li, et al, 2019; Paraskevaidi et al, 2017). To highlight the main biochemical alterations induced by EI, PCA‐LDA was applied to classify EI‐treated versus control categories.…”
Section: Resultsmentioning
confidence: 99%
“…Visually, this score plot displayed distinct clustering of spectral points of EI‐treated categories, which was away from the control category, indicating obvious segregation. The first five principal components (PC), which accounted for more than 99% of the variance, were selected from principal components analysis (PCA) (Duan, Li, et al, 2019) (Figure S4A). The first and the second principal components (PC1 and PC2), accounting for more than 94% of the total variance, were extracted for LDA analysis.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations